The blog shows how to build reliable long‑running OpenAI agents by combining Skills, hosted Shell containers, and server‑side context compaction. It gives concrete patterns for skill schema design, container reuse, network allowlists, and artifact handling.
Highlights
Skills provide reusable, versioned instruction bundles that can be loaded on demand.
Hosted Shell runs code in secure, warm containers for continuity across calls.
Server‑side compaction automatically compresses history to stay under token limits.
Write precise skill schemas with negative examples and store prompt templates inside skills.
Reuse the same container, lock down network allowlists, and use /mnt/data for persisted artifacts.
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Context
Audience
Developers building production‑grade AI agents and engineers interested in agentic workflow design
OpenAI Responses API docsLangChain agentsLLMOps patternsPrompt engineeringContainer security
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